Create games on multiple platforms from a single codebase using Haxe and the HaxeFlixel engine About This Book Learn the modern, cross-platform language Haxe to build games without any trouble Create engaging 2D games that are compatible with desktop, web, and mobile platforms Learn how to speed up your workflow with OpenFL and HaxeFlixel using this useful and compact guide Who This Book Is For This book is for game developers with some experience programming games on one or more platforms already. If you want to leverage your game development experience on one platform to develop for multiple platforms and to get up and running quickly, this book is for you. Having prior experience with a language similar to Haxe, such as ActionScript or JavaScript will help, but isn't required. What You Will Learn Understand the fundamentals of the Haxe programming language Set up a development environment that will work on Windows, Mac, and Linux Create fun 2D games using OpenFL and HaxeFlixel Understand how to implement a user interface Enhance the gameplay experience with cool animations Improve immersion by adding sound Make your game modular and easily expandable using configuration files Compile games that will work on desktop, web, and mobile platforms In Detail Haxe is a powerful and high-level multi-platform language that's incredibly easy to learn. Used by thousands of developers and many high-profile companies, Haxe is quickly emerging as a forerunner in the area of cross-platform programming. OpenFL builds on top of Haxe to make developing for multiple platforms quick and painless. HaxeFlixel provides you with the tools you need to build amazing 2D games easier than ever before. Cross-platform development has been supercharged using the Haxe programming language, making it increasingly easy and hassle-free to develop multi-platform games. If you've programmed games before and want to learn out how to deliver games across multiple platforms, or develop games faster, then Haxe Game Development Essentials is the book for you. It starts by showing you how to set up your development environment, then running you through some Haxe language fundamentals, and finally taking you through the process of programming a game from start to finish. You will learn how to create a side scrolling shooter game using HaxeFlixel. Next you will learn to enhance the game with new gameplay features, user interfaces, animations, sound, and configuration files to make your game expandable. Once your game is built and ready, you will learn how to deploy it to web, Android, iOS, and desktop systems. By the end of this book, you will be confident about creating multi-platform games using Haxe, OpenFL, and HaxeFlixel in a faster and easier way. Style and approach Since this book is aimed at people who have worked on games before, this book is written in a way that will get you quickly up to speed with a new set of tools, but will still be accessible for less experienced developers. Each chapter covers an essential milestone in building a game from start to finish. The chapters move in a logical fashion, starting with the basics of Haxe development and ending with preparing a game for deployment.

Design, build, and program your own remarkable robots with JavaScript and open source hardware About This Book Learn how to leverage Johnny-Five's Read, Eval, Print Loop, and Event API to write robot code with JavaScript Unlock a world of exciting possibilities by hooking your JavaScript-programmed robots up to the internet and using external data and APIs Move your project code from the Arduino Uno to a multitude of other robotics platforms Who This Book Is For If you've worked with Arduino before or are new to electronics and would like to try writing sketches in JavaScript, then this book is for you! Basic knowledge of JavaScript and Node.js will help you get the most out of this book. What You Will Learn Familiarise yourself with Johnny-Five Read, Eval, and Print Loop (REPL) to modify and debug robotics code in real time Build robots with basic output devices to create projects that light up, make noise, and more Create projects with complex output devices, and employ the Johnny-Five API to simplify the use of components that require complex interfaces, such as I2C Make use of sensors and input devices to allow your robotics projects to survey the world around them and accept input from users Use the Sensor and Motor objects to make it much easier to move your robotics projects Learn about the Animation API that will allow you to program complex movements using timing and key frames Bring in other devices to your Johnny-Five projects, such as USB devices and remotes Connect your Johnny-Five projects to external APIs and create your own Internet of Things! In Detail There has been a rapid rise in the use of JavaScript in recent times in a variety of applications, and JavaScript robotics has seen a rise in popularity too. Johnny-Five is a framework that gives NodeBots a consistent API and platform across several hardware systems. This book walks you through basic robotics projects including the physical hardware builds and the JavaScript code for them. You'll delve into the concepts of Johnny-Five and JS robotics. You'll learn about various components such as Digital GPIO pins, PWM output pins, Sensors, servos, and motors to be used with Johnny-Five along with some advanced components such as I2C, and SPI. You will learn to connect your Johnny-Five robots to internet services and other NodeBots to form networks. By the end of this book, you will have explored the benefits of the Johnny-Five framework and the many devices it unlocks. Style and approach This step-by-step guide to the Johnny-Five ecosystem is explained in a conversational style, packed with examples and tips. Each chapter also explores the Johnny-Five documentation to enable you to start exploring the API on your own.

Unleash the true potential of Ubuntu Server in your production environment using this administration guide About This Book Learn how to deploy and configure Ubuntu servers and work with cloud and hyper-visors Optimize network traffic to broadcast and multicast the traffic flow in OpenStack clouds Discover the essentials of the latest version of Ubuntu, which are good in both looks and performance, using this fast-paced guide Who This Book Is For This book is for system administrators who are familiar with the fundamentals of the Linux operating system and are looking for a fast-paced guide on Ubuntu, and those who are familiar with the older versions of Ubuntu and want to get up to scratch. Basic knowledge of Linux administration is assumed. What You Will Learn Install and set up Ubuntu Server in the shortest possible time, manually as well as in an automated way, for a single server or hundreds of servers Discover the fundamentals of the Ubuntu command-line interface Configure and administer Ubuntu Server using networking and CLI Deploy servers on Ubuntu in the simplest and fastest ways Enhance security within Ubuntu Server using tools such as firewalls, IDS, and IPS and procedures such as restore, rescue, and recovery Work with virtualization, clouds, and one of the best in open source cloud computing —OpenStack Optimize CLI for grep and exec commands and gain some best tips and tricks for Ubuntu Server administration In Detail Ubuntu is a Debian-based Linux operating system built on top of the Debian architecture. It is used to make operating systems for multiple platforms, including phones, desktops, TVs and mobiles. It has made some serious progress in the realms of efficiency and user friendliness. With evolving technology trends, demands on software have changed, with more and more skilled users. Over the past few years, services such as Facebook, Twitter, and push notifications on smartphones mean that users are used to being up to date with everything that happens all the time. With SignalR, the applications stay connected and will generate notifications when something happens either from the system or by other users. This provides new opportunities for the system administrators, to enter this new and exciting world of real-time application development. This is a concise and a cost-friendly guide, packed with up-to-date essentials on Ubuntu Server fundamentals. It will guide you through deploying and configuring Ubuntu servers in your office environments. You’ll start by installing Ubuntu Server, then move to the most useful aspect —the command-line interface inside it. You’ll extend your knowledge by learning how to administrate and configure Ubuntu Server. You will also see how to deploy services on Ubuntu Server and find out how to secure it. You’ll get to grips with the virtualization and cloud computing facilities provided by Ubuntu, and finally, you’ll gain some very useful tips. Style and approach This concise and easy-to-follow guide follows a step-by-step approach to help you master Ubuntu server, no matter what your level of expertise it. Each topic is explained sequentially with both essential information and whenever needed, in-depth references.

This book is intended for automation testers and developers who want to enhance their skills from web-based automation to mobile application automation using Appium. Basic knowledge of mobile application testing, Selenium WebDriver, and programming is assumed.

This is a stepbystep guide that will help you understand disaster recovery using VMware vSphere Replication 5.5 and VMware vCenter Site Recovery Manager (SRM) 5.5. The topics and configuration procedures are accompanied with relevant screenshots, flowcharts, and logical diagrams that makes grasping the concepts easier. This book is a guide for anyone who is keen on using vSphere Replication or vCenter Site Recovery Manager as a disaster recovery solution. This is an excellent handbook for solution architects, administrators, on-field engineers, and support professionals. Although the book assumes that the reader has some basic knowledge of data center virtualization using VMware vSphere, it can still be a very good reference for anyone who is new to virtualization.

This book provides a thorough look at the tools available within Redmine to facilitate the development of plugins and extensions. Full of tips and tricks, a recurring case study is also used to help guide you through the various content area extensions and plugin helpers and to provide context and realworld examples of the concepts being covered. This book is intended for those who want to build custom functionality into the Redmine project management platform. If you're already comfortable with Ruby, Rails, and Redmine, but you aren't quite sure what to do next, this book will walk you through the basics of getting a plugin written and integrated into various key areas of Redmine.

This book is a simple stepbystep, exampleoriented guide with a focus on providing the practical skills necessary to develop and customize apps with Apps Script. If you are an application developer with no knowledge of App Script, and would like to learn to build apps using Google Apps * from scratch, then this book is for you. Basic JavaScript knowledge is required.

This book breaks down the fundamental topics of SDL Trados Studio into clear, taskoriented steps that will help you apply them to your translation work speedily and efficiently. This book is designed for translators who are new and have some knowledge of SDL Trados Studio. This book will get you acquainted with its features quickly and enhance your knowledge to get the best out of this tool. Previous knowledge of SDL Trados would be useful but not required but working knowledge of translating tools is assumed

Fast-paced and to-the-point, this book takes you through the important topics of Microsoft Dynamics NAV with clear explanations and practical example code. The book's selection of topics is driven by what the working developer needs to know in order to become productive as quickly as possible. The business applications software designer/developer who: Wants to become productive in NAV C/SIDE C/AL development as quickly as possible Understands business applications and the associated software Has significant programming experience Has access to NAV including at least the Designer granules, preferably a full development license and a standard Cronus demo database Is willing to do the exercises to get hands-on experience The Reseller manager or executive who wants a concise, in depth view of NAVs development environment and tool set The technically knowledgeable manager or executive of a firm using NAV that is about to embark on a significant NAV enhancement project The technically knowledgeable manager or executive of a firm considering purchase of NAV as a highly customizable business applications platform The reader of this book: Does not need to be expert in object-oriented programming Does not need to have previous experience with NAV

Learn effective C++ network programming with Boost.Asio and become a proficient C++ network programmer About This Book Learn efficient C++ network programming with minimum coding using Boost.Asio Your one-stop destination to everything related to the Boost.Asio library Explore the fundamentals of networking to choose designs with more examples, and learn the basics of Boost.Asio Who This Book Is For This book is for C++ Network programmers with basic knowledge of network programming, but no knowledge of how to use Boost.Asio for network programming. What You Will Learn Prepare the tools to simplify network programming in C++ using Boost.Asio Explore the networking concepts of IP addressing, TCP/IP ports and protocols, and LAN topologies Get acquainted with the usage of the Boost libraries Get to know more about the content of Boost.Asio network programming and Asynchronous programming Establish communication between client and server by creating client-server application Understand the various functions inside Boost.Asio C++ libraries to delve into network programming Discover how to debug and run the code successfully In Detail Boost.Asio is a C++ library used for network programming operations. Organizations use Boost because of its productivity. Use of these high-quality libraries speed up initial development, result in fewer bugs, reduce reinvention-of-the-wheel, and cut long-term maintenance costs. Using Boost libraries gives an organization a head start in adopting new technologies. This book will teach you C++ Network programming using synchronous and asynchronous operations in Boost.Asio with minimum code, along with the fundamentals of Boost, server-client applications, debugging, and more. You will begin by preparing and setting up the required tools to simplify your network programming in C++ with Boost.Asio. Then you will learn about the basic concepts in networking such as IP addressing, TCP/IP protocols, and LAN with its topologies. This will be followed by an overview of the Boost libraries and their usage. Next you will get to know more about Boost.Asio and its concepts related to network programming. We will then go on to create a client-server application, helping you to understand the networking concepts. Moving on, you will discover how to use all the functions inside the Boost.Asio C++ libraries. Lastly, you will understand how to debug the code if there are errors found and will run the code successfully. Style and approach An example-oriented book to show you the basics of networking and help you create a network application simply using Boost.Asio, with more examples for you to get up and running with Boost.Asio quickly.

If you have a working knowledge of Hadoop 1.x but want to start afresh with YARN, this book is ideal for you. You will be able to install and administer a YARN cluster and also discover the configuration settings to fine-tune your cluster both in terms of performance and scalability. This book will help you develop, deploy, and run multiple applications/frameworks on the same shared YARN cluster.

This book is written for SQL Server administrators and developers who want to leverage PowerShell to work with SQL Server. Some background with *ing will be helpful but not necessary.

If you are new to Objective-C or a veteran in iOS application development, this is the book for you. This book will ensure that you can actively learn the methods and concepts in relation to memory management in a more engaging way. Basic knowledge of iOS development is required for this book.

This book is a practical, hands-on guide to implementing and deploying apps on the AppFog platform.Implementing AppFog is for developers who want to be able to upload applications to the cloud, and for implementation specialists, who implement and deploy apps on the AppFog platform. It is best to have Ruby installed, but we will walk you through the installation process if you do not already have it. It would be ideal to have some knowledge of cloud computing and know about the basics of database and network deployment.

Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features * Your guide to learning efficient machine learning processes from scratch * Explore expert techniques and hacks for a variety of machine learning concepts * Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn * Get a quick rundown of model selection, statistical modeling, and cross-validation * Choose the best machine learning algorithm to solve your problem * Explore kernel learning, neural networks, and time-series analysis * Train deep learning models and optimize them for maximum performance * Briefly cover Bayesian techniques and sentiment analysis in your NLP solution * Implement probabilistic graphical models and causal inferences * Measure and optimize the performance of your machine learning models Who this book is for If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.

Big data processing and analytics at speed and scale using command line tools. Key Features * Perform string processing, numerical computations, and more using CLI tools * Understand the essential components of data science development workflow * Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn * Understand how to set up the command line for data science * Use AWK programming language commands to search quickly in large datasets. * Work with files and APIs using the command line * Share and collect data with CLI tools * Perform visualization with commands and functions * Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

A hands on approach to learning ReasonML from the perspective of a web developer. Key Features * Hands on learning by building a real world app shell that includes client-side routing and more. * Understand Reason’s ecosystem including BuckleScript and various npm workflows. * Learn how Reason differs from TypeScript and Flow, and how to use it to make refactoring less stressful. Book Description ReasonML, also known as Reason, is a new syntax and toolchain for OCaml that was created by Facebook and is meant to be approachable for web developers. Although OCaml has several resources, most of them are from the perspective of systems development. This book, alternatively, explores Reason from the perspective of web development. You'll learn how to use Reason to build safer, simpler React applications and why you would want to do so. Reason supports immutability by default, which works quite well in the context of React. In learning Reason, you will also learn about its ecosystem – BuckleScript, JavaScript interoperability, and various npm workflows. We learn by building a real-world app shell, including a client-side router with page transitions, that we can customize for any Reason project. You'll learn how to leverage OCaml's excellent type system to enforce guarantees about business logic, as well as preventing runtime type errors.You'll also see how the type system can help offload concerns that we once had to keep in our heads. We'll explore using CSS-in-Reason, how to use external JSON in Reason, and how to unit-test critical business logic. By the end of the book, you'll understand why Reason is exploding in popularity and will have a solid foundation on which to continue your journey with Reason. What you will learn * Learn why Reason is exploding in popularity and why it's the future of React * Become familiar with Reason's syntax and semantics * Learn about Reason's ecosystem: BuckleScript and JavaScript interoperability * Learn how to build React applications with Reason * Learn how to use Reason's type system as a tool to provide amazing guarantees * Gain a solid foundation on which to continue your journey Who this book is for The target audience of this book is web developers who are somewhat familiar with ReactJS and who want to learn why ReasonML is the future of ReactJS.

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features * Train your own models for effective prediction, using high-level Keras API * Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks * Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book Description TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques. What you will learn * Use tf.Keras for fast prototyping, building, and training deep learning neural network models * Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files * Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications * Understand image recognition techniques using TensorFlow * Perform neural style transfer for image hybridization using a neural network * Code a recurrent neural network in TensorFlow to perform text-style generation Who this book is for Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.

Integrate your React applications with React to build efficient web services. Key Features * Learn React by building applications with Create React App * Create interactive UIs exploring the latest feature of CRA 2.0 * Build Progressive Web Applications for a more seamless web Book Description If you're a power user and you aren’t happy always reusing default configurations, from previous applications with each new application, then all you need is Create React App (CRA), a tool in the React ecosystem designed to help you create boilerplate code for building a web frontend. This book will help you use CRA to write React programs without significant configuration-related difficulties. With this quick start guide, you will integrate your applications with React to build efficient professional web services.You will learn to design UIs with the features of CRA and template your React applications. By the end of the book, you will be sufficiently skilled to be able to build faster and effective React apps using CRA. What you will learn * Become familiar with React by building applications with Create React App * Make your frontend development hassle free * Create interactive UIs exploring the latest features of CRA 2 * Build modern, React projects with, SASS,and progressive web applications * Develop proxy backend servers and simulate interaction with a full backend * Keep your application fully tested and maintain confidence in your project Who this book is for The book is intended for the web developers who want to jump into building great frontend with React using easy templating solutions.

A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects. Key Features * Create a secure, cost-effective, and scalable serverless data API * Use identity management and authentication for a user-specific and secure web application * Go beyond traditional web hosting to explore the full range of cloud hosting options Book Description Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity. Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices. By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning. What you will learn * Discover what microservices offer above and beyond other architectures * Create a serverless application with AWS * Gain secure access to data and resources * Run tests on your configuration and code * Create a highly available serverless microservice data API * Build, deploy, and run your serverless configuration and code Who this book is for If you are a developer with basic knowledge of Python and want to learn how to build, test, deploy, and secure microservices, then this book is for you. No prior knowledge of building microservices is required.

Leverage the power of Java and deep learning to build production-grade Computer Vision applications Key Features * Build real-world Computer Vision applications using the power of neural networks * Implement image classification, object detection, and face recognition * Know best practices on effectively building and deploying deep learning models in Java Book Description Although machine learning is an exciting world to explore, you may feel confused by all of its theoretical aspects. As a Java developer, you will be used to telling the computer exactly what to do, instead of being shown how data is generated; this causes many developers to struggle to adapt to machine learning. The goal of this book is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The book is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models. By the end of this book, you will have mastered the best practices and modern techniques needed to build advanced Computer Vision Java applications and achieve production-grade accuracy. What you will learn * Discover neural networks and their applications in Computer Vision * Explore the popular Java frameworks and libraries for deep learning * Build deep neural networks in Java * Implement an end-to-end image classification application in Java * Perform real-time video object detection using deep learning * Enhance performance and deploy applications for production Who this book is for This book is for data scientists, machine learning developers and deep learning practitioners with Java knowledge who want to implement machine learning and deep neural networks in the computer vision domain. You will need to have a basic knowledge of Java programming.